{"product_id":"python-scikit-learn-for-beginners-scikit-learn-specialization-for-data-scientist-paperback","title":"Python Scikit-Learn for Beginners: Scikit-Learn Specialization for Data Scientist - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eAi Publishing\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003ePython for Data Scientists -- Scikit-Learn SpecializationScikit-Learn, also known as Sklearn, is a free, open-source machine learning (ML) library used for the Python language. In February 2010, this library was first made public. And in less than three years, it became one of the most popular machine learning libraries on Github.Scikit-learn is the best place to start for access to easy-to-use, top-notch implementations of popular algorithms. This library speeds up the development of ML models.The main features of the Scikit-learn library are regression, classification, and clustering algorithms (random forests, K-means, gradient boosting, DBSCAN, AND support vector machines). The Scikit-learn library also integrates well with other Python libraries, such as NumPy, Pandas, IPython, SciPy, Sympy, and Matplotlib, to fulfill different tasks.\u003cem\u003ePython for Data Scientists: Scikit-Learn Specialization\u003c\/em\u003e presents you with a hands-on, simple approach to learn Scikit-learn fast.How Is This Book Different?Most Python books assume you know how to code using Pandas, NumPy, and Matplotlib. But this book does not. The author spends a lot of time teaching you how actually write the simplest codes in Python to achieve machine learning models.In-depth coverage of the Scikit-learn library starts from the third chapter itself. Jumping straight to Scikit-learn makes it easy for you to follow along. The other advantage is \u003cem\u003eJupyter Notebook\u003c\/em\u003e is used to write and explain the code right through this book.You can access the datasets used in this book easily by downloading them at runtime. You can also access them through the \u003cem\u003eDatasets \u003c\/em\u003efolder in the SharePoint and GitHub repositories.You also get to work on three hands-on mini-projects: \u003c\/p\u003e\u003col\u003e\n\u003cli\u003eSpam Email Detection with Scikit-Learn\u003c\/li\u003e\n\u003cli\u003eIMDB Movies Sentimental Analysis\u003c\/li\u003e\n\u003cli\u003eImage Classification with Scikit-Learn\u003c\/li\u003e\n\u003c\/ol\u003eThe scripts, graphs, and images in the book are clear and provide easy-to-understand visuals to the text description. If you're new to data science, you will find this book a great option for self-study. Overall, you can count on this \u003cstrong\u003elearning by doing\u003c\/strong\u003e book to help you accomplish your data science career goals faster.The topics covered include: \u003cul\u003e\n\u003cli\u003eIntroduction to Scikit-Learn and Other Machine Learning Libraries\u003c\/li\u003e\n\u003cli\u003eEnvironment Setup and Python Crash Course\u003c\/li\u003e\n\u003cli\u003eData Preprocessing with Scikit-Learn\u003c\/li\u003e\n\u003cli\u003eFeature Selection with Python Scikit-Learn Library\u003c\/li\u003e\n\u003cli\u003eSolving Regression Problems in Machine Learning Using Sklearn Library\u003c\/li\u003e\n\u003cli\u003eSolving Classification Problems in Machine Learning Using Sklearn Library\u003c\/li\u003e\n\u003cli\u003eClustering Data with Scikit-Learn Library\u003c\/li\u003e\n\u003cli\u003eDimensionality Reduction with PCA and LDA Using Sklearn\u003c\/li\u003e\n\u003cli\u003eSelecting Best Models with Scikit-Learn\u003c\/li\u003e\n\u003cli\u003eNatural Language Processing with Scikit-Learn\u003c\/li\u003e\n\u003cli\u003eImage Classification with Scikit-Learn\u003c\/li\u003e\n\u003c\/ul\u003eHit the BUY NOW button and start your Data Science Learning journey.\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 344\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.72 x 9 x 6 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e March 28, 2021\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47212928237817,"sku":"9781734790184","price":33.73,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/L3Uwb29WQVNUeHJBaUNCU24xN1hKUT09.webp?v=1768099031","url":"https:\/\/bookscloud.io\/products\/python-scikit-learn-for-beginners-scikit-learn-specialization-for-data-scientist-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}